Evidence map›Paper›PMID 27153099›Full record

ArticleBiosensors2016

Real-Time Detection of Staphylococcus Aureus Using Whispering Gallery Mode Optical Microdisks.

Hala Ghali, Hicham Chibli, Jay L Nadeau, Pablo Bianucci, Yves-Alain Peter

Abstract read
In one paragraph

Article in Biosensors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Label-Free Optical Resonator-Based Biosensors.Sensors (Basel, Switzerland) · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hala GhaliDepartment of Engineering Physics, Polytechnique Montreal, Montreal, QC, H3T 1J4, Canada. hala.ghali@polymtl.ca.
Hicham ChibliDepartment of Biomedical Engineering, McGill University, Montreal, QC, H3A 2B4, Canada. hicham.chibli@mcgill.ca.
Jay L NadeauDepartment of Biomedical Engineering, McGill University, Montreal, QC, H3A 2B4, Canada. jay.nadeau@mcgill.ca.
Pablo BianucciPhysics Department, Concordia University, Montreal, QC, H4B 1R6, Canada. pablo.bianucci@concordia.ca.
Yves-Alain PeterDepartment of Engineering Physics, Polytechnique Montreal, Montreal, QC, H3T 1J4, Canada. yves-alain.peter@polymtl.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whispering Gallery Mode (WGM) microresonators have recently been studied as a means to achieve real-time label-free detection of biological targets such as virus particles, specific DNA sequences, or proteins. Due to their high quality (Q) factors, WGM resonators can be highly sensitive. A biosensor also needs to be selective, requiring proper functionalization of its surface with the appropriate ligand that will attach the biomolecule of interest. In this paper, WGM microdisks are used as biosensors for detection of Staphylococcus aureus. The microdisks are functionalized with LysK, a phage protein specific for staphylococci at the genus level. A binding event on the surface shifts the resonance peak of the microdisk resonator towards longer wavelengths. This reactive shift can be used to estimate the surface density of bacteria that bind to the surface of the resonator. The limit of detection of a microdisk with a Q-factor around 10⁴ is on the order of 5 pg/mL, corresponding to 20 cells. No binding of Escherichia coli to the resonators is seen, supporting the specificity of the functionalization scheme.

Indexed as

Biosensing TechniquesStaphylococcus aureusSensitivity and SpecificitySiliconSiliconbacterial sensingoptical microdiskspecific bindingsurface functionalization

Identifiers

PMID27153099
PMCPMC4931480

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.